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» Recovering Spheres from 3D Point Data
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ICPR
2006
IEEE
14 years 10 months ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...
VISUALIZATION
2005
IEEE
14 years 2 months ago
Hardware-Accelerated 3D Visualization of Mass Spectrometry Data
We present a system for three-dimensional visualization of complex Liquid Chromatography - Mass Spectrometry (LCMS) data. Every LCMS data point has three attributes: time, mass, a...
Jose De Corral, Hanspeter Pfister
CVPR
2003
IEEE
14 years 10 months ago
Visual Hull Alignment and Refinement Across Time: A 3D Reconstruction Algorithm Combining Shape-From-Silhouette with Stereo
Visual Hull (VH) construction from silhouette images is a popular method of shape estimation. The method, also known as Shape-From-Silhouette (SFS), is used in many applications s...
German K. M. Cheung, Simon Baker, Takeo Kanade
3DPVT
2002
IEEE
108views Visualization» more  3DPVT 2002»
14 years 1 months ago
Probabilistic 3D Data Fusion for Adaptive Resolution Surface Generation
In this paper we present an algorithm for adaptive resolution integration of 3D data collected from multiple distributed sensors. The input to the algorithm is a set of 3D surface...
Andrew E. Johnson, Roberto Manduchi
RT
1995
Springer
14 years 11 days ago
Rendering Trees from Precomputed Z-Buffer Views
Parallel projection z-buffer images are precomputed for a number of preset viewing directions on the unit sphere. Using the depth information, we can reconstruct a 3-D point from e...
Nelson L. Max, Keiichi Ohsaki